We explain how the accelerating field amplitude and phase vary with modulator voltage in pulsed radio frequency high-power amplifiers based on klystron tubes. Changes in modulator voltage give rise to correlated changes of amplitude and phase, affecting the properties of the accelerated beam, in particular energy, arrival time, and bunch duration. We show, both theoretically and experimentally, th

The article explores the use of reflexive methodology to enhance mixed methods queer psychological research in Sweden, by analysing data from a qualitative research project on how LGBTQ people cope with minority stress from four epistemological perspectives. A descriptive, hermeneutically and phenomenologically inspired analysis showed that coping should be understood from temporal perspective, wh

The concentration of colored dissolved organic matter (CDOM) in lakes is strongly influenced by climate, land cover, and topographic settings, but it is not known how drought may affect the relative importance of these controls. Here, we evaluate the controls of CDOM during two summers with strongly contrasting values of the Palmer drought index (PDI), indicating wet vs. dry conditions. We hypothe

Scheduling between mates in species with long-term pair bonds can be essential for positive fitness. The annual cycle in photoperiod is the primary environmental cue used by many animals to synchronize behavior and physiology among members of a population, and animals that migrate must have similar annual schedules to ensure successful breeding. However, we know little about whether members of mat

The Storage Location Assignment Problem (SLAP) is of central importance in warehouse operations. An important research challenge lies in generalizing the SLAP such that it is not tied to certain order-picking methodologies, constraints, or warehouse layouts. We propose the OBP-based SLAP, where the quality of a location assignment is obtained by optimizing an Order Batching Problem (OBP). For the

The implementation of deep learning algorithms has brought new perspectives to plankton ecology. Emerging as an alternative approach to established methods, deep learning offers objective schemes to investigate plankton organisms in diverse environments. We provide an overview of deep-learning-based methods including detection and classification of phytoplankton and zooplankton images, foraging an

Impactful applications such as materials discovery, hardware design, neural architecture search, or portfolio optimization require optimizing high-dimensional black-box functions with mixed and combinatorial input spaces. While Bayesian optimization has recently made significant progress in solving such problems, an in-depth analysis reveals that the current state-of-the-art methods are not reliab

The aim of this study is to investigate the association between self-perceived voice problems and social participation among older adults (65-80 years). A complementary aim was to investigate the association between self-perceived voice problems and physical activity. Method Participants were recruited through social media and asked to complete an online questionnaire. In total, 152 individuals we

Primary graft dysfunction (PGD) remains a challenge for lung transplantation (LTx) recipients as a leading cause of poor early outcomes. New methods are needed for more detailed monitoring and understanding of the pathophysiology of PGD. The measurement of particle flow rate (PFR) in exhaled breath is a novel tool to monitor and understand the disease at the proteomic level. In total, 22 recipient

Background: Cystic fibrosis (CF) is most common in populations of Northern European ancestry where the F508del variant predominates. In 2020, Iceland became a member of the European Cystic Fibrosis Society Patient Registry, and we launched an epidemiological study of CF in Iceland. The study aimed to determine the prevalence and the genetic variants present in the country. Furthermore, we aimed to

Music therapy is a “vocally demanding profession” [1, p. 46]. Currently, little is known about the prevalence and about the possible risk factors for voice disorders within music therapy. As music therapy workspaces may not always be ideal in terms of acoustics, the aim of the study is to investigate room acoustics and noise as risk factors for possible voice disorders among music therapists in Fi

We program high-dimensional linear optical circuits within a commercial multi-mode fibre, turning it into a generalised multi-outcome measurement device, which allows us to both transport and certify high-dimensional entanglement within the transmission channel itself.

Introduction: The current standard treatment for endometrial cancer is a laparoscopic hysterectomy with adnexectomies and bilateral sentinel node resection. A retroperitoneal vNOTES sentinel node resection has several theoretical potential advantages. These include being less invasive, leaving no visible scars, operating without Trendelenburg, and therefore offering the anesthetic advantage of eas

The Alzheimer's disease (AD) afflicted brain is neuropathologically defined by extracellular amyloid-β (Aβ) plaques and intraneuronal neurofibrillary tangles composed of hyperphosphorylated tau protein. However, accumulating evidence suggests that the presynaptic protein α-synuclein (αSyn), mainly associated with synucleinopathies like Parkinson's disease (PD), dementia with Lewy bodies (DLB) and

att karakterisera sväljningsproblematik hos patienter med parkinsonism med såväl instrumentella som icke-instrumentella metoderPrevalence and characteristics of dysphagia (including aspiration) in patients with parkinsonism is variable, depending on type of assessment, diagnosis, disease stage and duration. The aim of this study was to further evaluate dysphagia characteristics in patients with different types of parkinsonism with both instrumental (Flexible Endoscopic Evaluation of Swallowing, FEES) and non-instrumental

In this thesis we discuss and test ways to improve the performance of inline integration. Inline integration is a tool used for real-time simulations of complex dynamical systems. The idea is to relate information about the system to the numerical method at a model level. Real-time simulations of complex models have become standard in industry. This puts high demands on simulation tools with regar